Evidence map›Paper›PMID 35788633›Full record

ArticleScientific reports2022

Association between body shape index and risk of mortality in the United States.

Heysoo Lee, Hye Soo Chung, Yoon Jung Kim, Min Kyu Choi, Yong Kyun Roh, Wankyo Chung, Jae Myung Yu, Chang-Myung Oh, Shinje Moon

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Heysoo LeeDepartment of Family Medicine, Hallym University College of Medicine, Chuncheon, Korea.
Hye Soo ChungDivision of Endocrinology and Metabolism, Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, 07441, Seoul, Korea.
Yoon Jung KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, 07441, Seoul, Korea.
Min Kyu ChoiDepartment of Family Medicine, Hallym University College of Medicine, Chuncheon, Korea.
Yong Kyun RohDepartment of Family Medicine, Hallym University College of Medicine, Chuncheon, Korea.
Wankyo ChungDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Jae Myung YuDivision of Endocrinology and Metabolism, Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, 07441, Seoul, Korea.
Chang-Myung OhDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, 61005, Korea. cmoh@gist.co.kr.
Shinje MoonDivision of Endocrinology and Metabolism, Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, 07441, Seoul, Korea. sinjei1129@gmail.com.
Hallym University · KRGwangju Institute of Science and Technology · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The body mass index (BMI) neither differentiates fat from lean mass nor does it consider adipose tissue distribution. In contrast, the recently introduced z-score of the log-transformed A Body Shape Index (LBSIZ) can be applied to measure obesity using waist circumference (WC), height, and weight. We aimed to investigate the association between LBSIZ and mortality. We used data from the National Health and Nutrition Examination Survey 1999-2014 and linked the primary dataset to death certificate data from the National Death Index with mortality follow-up through December 31, 2015. A multiple Cox regression analysis was performed to evaluate the hazard ratio (HR) of all-cause and cardiovascular disease (CVD) mortalities with adjustment for baseline characteristics. LBSIZ, WC, and BMI showed positive association with total fat percentage (P < 0.001); however, only WC and BMI were positively associated with appendicular skeletal mass index (ASMI) (P < 0.001). In the multiple Cox regression analysis, only LBSIZ showed a significant HR for all-cause and CVD mortalities. Under restricted cubic spline regression, mortality risk increased with LBSIZ. However, BMI and WC showed a U-shape association. In conclusion, LBSIZ is strongly associated with all-cause and CVD mortalities. Since LBSIZ is independent of BMI, LBSIZ complements BMI to identify high-risk groups for mortality even in individuals with low or normal BMI.

Indexed as

Cardiovascular DiseasesSomatotypesBody Mass IndexHumansNutrition SurveysUnited StatesWaist Circumference

Identifiers

PMID35788633
PMCPMC9253149
OpenAlexW4283802603

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.